Temporal Sequencing Research Articles

Sequencing of symptom emergence in anorexia nervosa, bulimia nervosa, binge eating disorder, and purging disorder and relations of prodromal symptoms to future onset of these disorders.

The objective of this study was to characterize the temporal sequencing of symptom emergence for anorexia nervosa (AN), bulimia nervosa (BN), binge eating disorder (BED), and purging disorder (PD), as well as to test whether prodromal symptoms increase risk for future onset of each type of eating disorder and compare the predictive effects to those of established risk factors. Data from four prevention trials that targeted high-risk young women with body image concerns (N = 1,952; Mage = 19.7, SD = 5.7) and collected annual diagnostic interview data over 3-year follow-up were combined to address these aims. Regarding behavioral symptoms, compensatory weight control behaviors typically emerged first for AN, BN, and PD, whereas binge eating typically emerged first for BED. Regarding cognitive symptoms, for AN, weight/shape overvaluation typically emerged first, whereas for BN, BED, and PD, overvaluation typically emerged simultaneously with feeling fat and fear of weight gain. Binge eating, compensatory behaviors, weight/shape overvaluation, fear of weight gain, and feeling fat predicted BN, BED, and PD onset, whereas weight/shape overvaluation, fear of weight gain, and lower than expected body mass index predicted AN onset. Predictive effects of prodromal symptoms were similar in magnitude to those of established risk factors: Collectively, prodromal symptoms and risk factors predicted onset of specific eating disorders with 67-83% accuracy. Results suggest that compensatory weight control behaviors and cognitive symptoms are likely to emerge before binge eating in the various eating disorders and that offering indicated prevention programs to youth with prodromal symptoms may be an effective way to prevent eating disorders. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

An application specific dynamic behaviour model using function-call sequence and memory access-graph for execution integrity verification

Computing systems demand stringent security checks to guard themselves against powerful attack vectors. Deployment of the Control Flow Integrity(CFI) checks limit the control flow of a program to a set of valid destinations, derived from the static analysis of the code. CFI checks guarantee the integrity of the executed code, but, they do not guarantee the integrity of execution, as sophisticated attack vectors create attacks that comply with the normal control flow of the program. This paper proposes an application specific, dynamic, execution integrity verification scheme, to detect static and dynamic integrity breaches. The system builds a behaviour model consisting of function call sequences and memory access graphs, to verify the semantic behaviour exhibited by the application. Dynamic variation of the function behaviour is further recorded as Access Graph Variance Vector (AGVV). Temporal sequencing of function calls, together with the memory access graph comparison, yields a two-level integrity verification system. Apart from detecting the deviations from normal behaviour, our proposed method limits the abnormal behaviour from being propagated. Experimental evaluation of the proposed method using applications from MiBench benchmark suite against static integrity breaches shows cent percent verification accuracy with less than 5% false positive rate. The system also identifies the dynamic integrity violation caused by ROP based attacks from the RIPE benchmark suite, indicating an accuracy of 94.44% against dynamic integrity breaches.

Temporal transcriptome profiling of developing seeds reveals candidate genes involved in oil accumulation in safflower (Carthamus tinctorius L.)

BackgroundThe investigation of molecular mechanisms involved in lipid metabolism plays a critical role for the genetic engineering of safflower (Carthamus tinctorius L.) to increase the oil accumulation level or to change the oil composition. Although transcript sequences are currently available for the leaves and flowers of safflower, a wide range scan of temporal transcripts at different stages of seed development has not been conducted for safflower.ResultsIn this study, temporal transcriptome sequencing was executed at 10, 14, 18, and 22 days after flowering (DAF) to uncover the molecular networks concerned in the biosynthesis of unsaturated fatty acids (USFAs). The results revealed that the biosynthesis of fatty acids is a dominant cellular process from 10 to 14 DAF, while degradation mainly happens after 18 DAF. Significant expression changes of two genes, stearoyl-[acyl-carrier-protein] 9-desaturase gene (SAD) from 10 to 14 DAF and oleate desaturase (FAD2–1) from 14 to 18 DAF, were detected at the transcriptomic levels, and the temporal expression patterns revealed by the transcriptomic analysis were confirmed using quantitative real-time PCR experiments. In addition, 13 candidate transcription factors (TFs) involved in regulating the expression level of the FAD2–1 gene were identified.ConclusionsThese results create a link between fatty acid biosynthesis and gene expression at different developmental stages of the seeds, provide insight into the underlying lipid metabolism, and meanwhile lay an important foundation for the genetic engineering of safflower varieties. We have identified novel candidate genes, including TFs, that are worthy of further exploration.

Recent Advances in Imaging of Preclinical, Sporadic, and Autosomal Dominant Alzheimer's Disease.

Observing Alzheimer's disease (AD) pathological changes in vivo with neuroimaging provides invaluable opportunities to understand and predict the course of disease. Neuroimaging AD biomarkers also allow for real-time tracking of disease-modifying treatment in clinical trials. With recent neuroimaging advances, along with the burgeoning availability of longitudinal neuroimaging data and big-data harmonization approaches, a more comprehensive evaluation of the disease has shed light on the topographical staging and temporal sequencing of the disease. Multimodal imaging approaches have also promoted the development of data-driven models of AD-associated pathological propagation of tau proteinopathies. Studies of autosomal dominant, early sporadic, and late sporadic courses of the disease have shed unique insights into the AD pathological cascade, particularly with regard to genetic vulnerabilities and the identification of potential drug targets. Further, neuroimaging markers of b-amyloid, tau, and neurodegeneration have provided a powerful tool for validation of novel fluid cerebrospinal and plasma markers. This review highlights some of the latest advances in the field of human neuroimaging in AD across these topics, particularly with respect to positron emission tomography and structural and functional magnetic resonance imaging.

Temporal Associations Among Body Mass Index, Fasting Insulin, and Systemic Inflammation

Obesity is associated with a number of noncommunicable chronic diseases and is purported to cause premature death. To summarize evidence on the temporality of the association between higher body mass index (BMI) and 2 potential mediators: chronic inflammation and hyperinsulinemia. MEDLINE (1946 to August 20, 2019) and Embase (from 1974 to August 19, 2019) were searched, although only studies published in 2018 were included because of a high volume of results. The data analysis was conducted between January 2020 and October 2020. Longitudinal studies and randomized clinical trials that measured fasting insulin level and/or an inflammation marker and BMI with at least 3 commensurate time points were selected. Slopes of these markers were calculated between time points and standardized. Standardized slopes were meta-regressed in later periods (period 2) with standardized slopes in earlier periods (period 1). Evidence-based items potentially indicating risk of bias were assessed. Of 1865 records, 60 eligible studies with 112 cohorts of 5603 participants were identified. Most standardized slopes were negative, meaning that participants in most studies experienced decreases in BMI, fasting insulin level, and C-reactive protein level. The association between period 1 fasting insulin level and period 2 BMI was positive and significant (β = 0.26; 95% CI, 0.13-0.38; I2 = 79%): for every unit of SD change in period 1 insulin level, there was an ensuing associated change in 0.26 units of SD in period 2 BMI. The association of period 1 fasting insulin level with period 2 BMI remained significant when period 1 C-reactive protein level was added to the model (β = 0.57; 95% CI, 0.27-0.86). In this bivariable model, period 1 C-reactive protein level was not significantly associated with period 2 BMI (β = -0.07; 95% CI, -0.42 to 0.29; I2 = 81%). In this meta-analysis, the finding of temporal sequencing (in which changes in fasting insulin level precede changes in weight) is not consistent with the assertion that obesity causes noncommunicable chronic diseases and premature death by increasing levels of fasting insulin.

Temporal metabolic and transcriptomic characteristics crossing islets and liver reveal dynamic pathophysiology in diet-induced diabetes

SummaryTo investigate the molecular mechanisms underlying islet dysfunction and insulin resistance in diet-induced diabetes, we conducted temporal RNA sequencing of tissues responsible for insulin secretion (islets) and action (liver) every 4 weeks in mice on high-fat (HFD) or chow diet for 24 weeks, linking to longitudinal profile of metabolic characteristics. The diverse responses of α, β, and δ cells to glucose and palmitate indicated HFD-induced dynamic deterioration of islet function from dysregulation to failure. Insulin resistance developed with variable time course in different tissues. Weighted gene co-expression network analysis and Ingenuity Pathway Analysis implicated islets and liver jointly programmed β-cell compensatory adaption via cell proliferation at early phase and irreversible islet dysfunction by inappropriate immune response at later stage, and identified interconnected molecules including growth differentiation factor 15. Frequencies of T cell subpopulation showed an early decrement in Tregs followed by increases in Th1 and Th17 cells during progression to diabetes.

Oral Language and Story Retelling During Preschool and Primary School Years: Developmental Patterns and Interrelationships.

Oral language and narrative skills constitute very critical factors for children's academic performance and social competence. The aim of the present study was to investigate the developmental patterns of story retelling, as well as the relationship between oral language and story retelling in preschool and primary school children. Two hundred and thirty-seven Greek-speaking children (4-5, 5-6 and 6-7years old) participated in the study. Vocabulary knowledge, phonological awareness, morphological awareness skills and pragmatics were examined through a standardized psychometric test. Story retelling was measured by inviting the children to listen to a story and then retell it. Children's narratives were evaluated according to microstructure (use of conjunctions and lexical cohesion) and macrostructure (story grammar and temporal sequencing) criteria. The results showed that children performed better as they got older across all the oral language and story retelling tasks. Structural equation modeling revealed that vocabulary skills stand out as a stable predictor across all the three age groups. A new finding was also demonstrated, highlighting that morphological awareness, phonological awareness skills and pragmatics work together with vocabulary skills in diverse patterns at different points of a child's development, in order to support his/her ability to retell a story.

Des Grieuxand the Origins ofTeleny

Scholarly discussions of the anonymous homoerotic novelTeleny(1893) invariably confront the question of its mysterious origins. This is understandable, since for many commentators what has been dubbed “the first gay modern novel” represents the opening chapter in a story about queer print culture that may (or may not) have been authored by Oscar Wilde. Joining the methodologies of bibliography and queer theory, with particular emphasis on temporal directionality and sequencing, this article offers new insight intoTeleny's history in light of its virtually unknown 1899 prequel,Des Grieux (The Prelude to “Teleny”). “Des Grieuxand the Origins ofTeleny” represents the first detailed critical analysis ofTeleny's literary progeny, and I pursue this analysis by attending to publishing history, authorial speculation, and both novels’ engagement with Victorian sexology. Although the bibliographer Peter Mendes avers that “Des Grieuxwas indeed written by the same hand(s) asTeleny, and possibly beforeTelenyat that,” I contend that its appearance six years after the first appearance ofTelenyarticulates a queer textual genealogy for the two novels, situatingTelenyin an inverted relation to a prequel that postdates it.

Temporal Sequencing of Mental Health Symptom Severity and Suicidal Ideation in Post-9/11 Men and Women Veterans Who Recently Separated from the Military

Background Despite some evidence for gender differences in associations between military veterans’ mental health and suicidal ideation (SI), gender-specific prospective studies are lacking. The aims of this prospective study were to: (1) examine gender differences in veterans’ initial status and trajectories of mental health severity and SI status and (2) identify temporal sequencing of mental health predictors of SI. Methods Surveys of 1035 US veterans were administered at 3 time-points (T1, T2, T3) over a 7-year period following military separation, with an initial assessment within 2 years of military separation. Results Men reported higher baseline PTSD and alcohol misuse severity than women. No baseline gender difference in SI prevalence was detected. Baseline gender differences in mental health severity were maintained over time. For both men and women, remittance of SI was more likely from T1 to T2 than from T2 to T3 while chronic SI was more likely from T2 to T3. The strongest predictors of T3 SI were prior SI followed by alcohol misuse, depression, and PTSD severity with stronger effects for T2 predictors than T1. Conclusion The maintenance of baseline gender differences throughout trajectories of mental health predictors of SI supports the need for ongoing gender-specific mental health services. Current governmental interorganizational efforts are focused on suicide prevention during the first year after military service completion. Our findings indicate a need to extend mental health screening and treatment beyond the early post-military period to reduce risk and recurrence of SI for both men and women.

GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs

Abstract. Landslides in glacial environments are high-magnitude, long-runout events, believed to be increasing in frequency as a paraglacial response to ice retreat and thinning and, arguably, due to warming temperatures and degrading permafrost above current glaciers. However, our ability to test these assumptions by quantifying the temporal sequencing of debris inputs over large spatial and temporal extents is limited in areas with glacier ice. Discrete landslide debris inputs, particularly in accumulation areas, are rapidly “lost”, being reworked by motion and icefalls and/or covered by snowfall. Although large landslides can be detected and located using their seismic signature, smaller (M≤5.0) landslides frequently go undetected because their seismic signature is less than the noise floor, particularly supraglacially deposited landslides, which feature a “quiet” runout over snow. Here, we present GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new free-to-use tool leveraging Landsat 4–8 satellite imagery and Google Earth Engine. GERALDINE outputs maps of new supraglacial debris additions within user-defined areas and time ranges, providing a user with a reference map, from which large debris inputs such as supraglacial landslides (>0.05 km2) can be rapidly identified. We validate the effectiveness of GERALDINE outputs using published supraglacial rock avalanche inventories, and then demonstrate its potential by identifying two previously unknown, large (>2 km2) landslide-derived supraglacial debris inputs onto glaciers in the Hayes Range, Alaska, one of which was not detected seismically. GERALDINE is a first step towards a complete global magnitude–frequency of landslide inputs onto glaciers over the 38 years of Landsat Thematic Mapper imagery.

Are Sink Drainage Systems a Reservoir for Hospital-Acquired Gammaproteobacteria Colonization and Infection? A Systematic Review.

Increasing rates of antimicrobial-resistant organisms have focused attention on sink drainage systems as reservoirs for hospital-acquired Gammaproteobacteria colonization and infection. We aimed to assess the quality of evidence for transmission from this reservoir. We searched 8 databases and identified 52 studies implicating sink drainage systems in acute care hospitals as a reservoir for Gammaproteobacterial colonization/infection. We used a causality tool to summarize the quality of evidence. Included studies provided evidence of co-occurrence of contaminated sink drainage systems and colonization/infection, temporal sequencing compatible with sink drainage reservoirs, some steps in potential causal pathways, and relatedness between bacteria from sink drainage systems and patients. Some studies provided convincing evidence of reduced risk of organism acquisition following interventions. No single study provided convincing evidence across all causality domains, and the attributable fraction of infections related to sink drainage systems remains unknown. These results may help to guide conduct and reporting in future studies.

Bayesian 14C-rationality, Heisenberg Uncertainty, and Fourier Transform

Following some 30 years of radiocarbon research during which the mathematical principles of 14C-calibration have been on loan to Bayesian statistics, here they are returned to quantum physics. The return is based on recognition that 14C-calibration can be described as a Fourier transform. Following its introduction as such, there is need to reconceptualize the probabilistic 14C-analysis. The main change will be to replace the traditional (one-dimensional) concept of 14C-dating probability by a two-dimensional probability. This is entirely analogous to the definition of probability in quantum physics, where the squared amplitude of a wave function defined in Hilbert space provides a measurable probability of finding the corresponding particle at a certain point in time/space, the so-called Born rule. When adapted to the characteristics of 14C-calibration, as it turns out, the Fourier transform immediately accounts for practically all known so-called quantization properties of archaeological 14C-ages, such as clustering, age-shifting, and amplitude-distortion. This also applies to the frequently observed chronological lock-in properties of larger data sets, when analysed by Gaussian wiggle matching (on the 14C-scale) just as by Bayesian sequencing (on the calendar time-scale). Such domain-switching effects are typical for a Fourier transform. They can now be understood, and taken into account, by the application of concepts and interpretations that are central to quantum physics (e.g. wave diffraction, wave-particle duality, Heisenberg uncertainty, and the correspondence principle). What may sound complicated, at first glance, simplifies the construction of 14C-based chronologies. The new Fourier-based 14C-analysis supports chronological studies on previously unachievable geographic (continental) and temporal (Glacial-Holocene) scales; for example, by temporal sequencing of hundreds of archaeological sites, simultaneously, with minimal need for development of archaeological prior hypotheses, other than those based on the geo-archaeological law of stratigraphic superposition. As demonstrated in a variety of archaeological case studies, just one number, defined as a gauge-probability on a scale 0–100%, can be used to replace a stacked set of subjective Bayesian priors.

High-resolution temporal transcriptome sequencing unravels ERF and WRKY as the master players in the regulatory networks underlying sesame responses to waterlogging and recovery

Major crops are generally sensitive to waterlogging, but our limited understanding of the waterlogging gene regulatory network hinders the efforts to develop waterlogging-tolerant cultivars. We generated high-resolution temporal transcriptome data from root of two contrasting sesame genotypes over a 48 h period waterlogging and drainage treatments. Three distinct chronological transcriptional phases were identified, including the early-waterlogging, late-waterlogging and drainage responses. We identified 47 genes representing the core waterlogging-responsive genes. Waterlogging/drainage-induced transcriptional changes were mainly driven by ERF and WRKY transcription factors (TF). The major difference between the two genotypes resides in the early transcriptional phase. A chronological transcriptional network model predicting putative causal regulations between TFs and downstream waterlogging-responsive genes was constructed and some interactions were validated through yeast one-hybrid assay. Overall, this study unveils the architecture and dynamic regulation of the waterlogging/drainage response in a non-model crop and helps formulate new hypotheses on stress sensing, signaling and sophisticated adaptive responses.

Crosslinguistic influence on English and Chinese L2 speakers’ conceptualization of event series

Aims and objectives/purpose/research question: The expression of event series varies across languages in intriguing ways. One key difference is that in some linguistic systems, such as Chinese, events can be tightly sequenced using serial verb constructions (SVCs), for example, qù kāi mén ‘go open door’. Linguistic systems with this property are known as serializing, and those without it, such as English, as non-serializing. This paper explores whether second language (L2) learners with a serializing first language (L1) conceptually transfer tight L1-based event serialization patterns into their non-serializing L2, and, if L2 learners with a non-serializing L1 acquire tight SVC-modulated event serialization in the L2. Design/methodology/approach: To investigate this, a task was created to estimate temporal distances between events on a time axis. Participants were asked to circle two numbers on the axis (0 = far past, 9 = far future) based on their understanding of when two events expressed by two verbs in each stimulus sentence happen. Data and analysis: Results showed that Chinese learners of English estimated significantly shorter temporal distances between multiple events in English SVC-like sentences compared to English natives. Tighter temporal sequencing in L2 English is interpreted as L1-based conceptual transfer of event serialization patterns. In the opposite direction, English learners of Chinese marked events in Chinese SVCs as significantly further apart than did Chinese natives, also showing that their event serialization is L1-based. Originality: This study demonstrates for the first time crosslinguistic influence on the conceptual level in the domain of event serialization. Significance/implications: The reported findings inform L2 acquisition research by providing empirical support for the idea that L1-based event serialization patterns influence how L2 learners conceptualize event distances, and this holds in both directions, from a serializing to a non-serializing language as well as vice versa.

Heterogeneity in Temporal Ordering of Depression and Participation After Traumatic Brain Injury

ObjectiveTo examine heterogeneity in the temporal patterns of depression and participation over the first 2 years post traumatic brain injury (TBI). DesignObservational prospective longitudinal study. SettingInpatient rehabilitation centers, with 1- and 2-year follow-up conducted primarily by telephone. ParticipantsPersons with TBI (N=2307) enrolled in the Traumatic Brain Injury Model Systems database, followed at 1 and 2 years post injury. InterventionsNot applicable. Main Outcome MeasurePatient Health Questionnaire-9 (PHQ-9) and Participation Assessment With Recombined Tools–Objective (PART-O). ResultsUsing latent class modeling we examined heterogeneity in the longitudinal relationship between PHQ-9 and PART-O. The identified 6 classes were most distinct in terms of (1) level of PHQ-9 score and (2) association between the year 1 PART-O score and year 2 PHQ-9 score. For most participants, PART-O at year 1 predicted PHQ-9 at year 2 more than the reverse. However, there was a subgroup of participants that demonstrated the reverse pattern, PHQ-9 predicting later PART-O, who were on average, older and in the “other” employment category. ConclusionsResults suggest that links between participation and depression are stronger for some people living with TBI than for others and that variation in the temporal sequencing of these 2 constructs is associated with demographic characteristics. These findings illustrate the value in accounting for population heterogeneity when evaluating temporal among outcome domains.

Community-Based Resource Mobilization: How Entrepreneurs Acquire Resources from Distributed Non-Professionals via Crowdfunding

We examine how entrepreneurs acquire financial resources for their early-stage ventures from distributed non-professionals via crowdfunding. Through an inductive analysis of entrepreneurs’ successful and unsuccessful non-equity crowdfunding campaigns, we derive a holistic framework of community-based resource mobilization. Our framework consists of three distinct processes entrepreneurs use to attain financial capital from non-professional resource providers over time: community building to establish psychological bonds with individuals possessing domain-relevant knowledge, community engaging to foster social identification with existing resource providers, and community spanning to leverage proofpoints with intermediaries who can help orchestrate resource mobilization with broader audiences. Entrepreneurs’ enactment and temporal sequencing of these three processes distinguish successful versus unsuccessful resource mobilization efforts in a crowdfunding setting. Community building is used by successful entrepreneurs primarily prior to a campaign’s launch, community engaging is used throughout a campaign, and community spanning is most effectively used after achieving a campaign’s initially-stated funding goal. This study empirically illustrates and theoretically conceptualizes the dynamics of resource mobilization in a crowdfunding setting.

Exploring the multiple policy objectives for primary care networks: a qualitative interview study with national policy stakeholders

ObjectivesEnglish general practice is suffering a workforce crisis, with general practitioners retiring early and trainees reluctant to enter the profession. To address this, additional funding has been offered, but only...

Ilanah Fhima and Dev S. Gangjee, The Confusion Test in European Trade Mark Law, Oxford: Oxford University Press, 2019, 278 pp, hb £125.00.

Ilanah Fhima and Dev S. Gangjee, The Confusion Test in European Trade Mark Law, Oxford: Oxford University Press, 2019, 278 pp, hb £125.00.

De novo transcriptome sequence of Senna tora provides insights into anthraquinone biosynthesis.

Senna tora is an annual herb with rich source of anthraquinones that have tremendous pharmacological properties. However, there is little mention of genetic information for this species, especially regarding the biosynthetic pathways of anthraquinones. To understand the key genes and regulatory mechanism of anthraquinone biosynthesis pathways, we performed spatial and temporal transcriptome sequencing of S. tora using short RNA sequencing (RNA-Seq) and long-read isoform sequencing (Iso-Seq) technologies, and generated two unigene sets composed of 118,635 and 39,364, respectively. A comprehensive functional annotation and classification with multiple public databases identified array of genes involved in major secondary metabolite biosynthesis pathways and important transcription factor (TF) families (MYB, MYB-related, AP2/ERF, C2C2-YABBY, and bHLH). Differential expression analysis indicated that the expression level of genes involved in anthraquinone biosynthetic pathway regulates differently depending on the degree of tissues and seeds development. Furthermore, we identified that the amount of anthraquinone compounds were greater in late seeds than early ones. In conclusion, these results provide a rich resource for understanding the anthraquinone metabolism in S. tora.

Eye-movements support chronometric imagery performance even when the task is occluded

ABSTRACT Mental chronometry has often been used to provide a temporal comparison between executed and imagined movements, with smaller discrepancies indicating more accurate image production and better imagery performance. In this study, we examined the importance of retinal and extra-retinal information in the performance of simple, sequential movements. After physical practice of four activities of daily living (Southampton Hand Assessment Procedure), nineteen participants imagined completing the same tasks with: 1) free eye-movements and visible objects, 2) free eye-movements and no visibility of the objects, and 3) constrained eye-movements and visible objects. Results suggested imagery performance was slower/less accurate compared to physical execution when the eyes were constrained. Conversely, chronometric imagery performance was unaffected with free eye movements, even when task-specific visual information was occluded. This study highlights the crucial role that eye-movements play in the regulation of the temporal aspects of imagery even when retinal information is absent, suggesting that temporal sequencing of imagined actions is largely dependent on extra-retinal information sources.